Instructions to use khan123/gaepago-11 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use khan123/gaepago-11 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="khan123/gaepago-11")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("khan123/gaepago-11") model = AutoModelForAudioClassification.from_pretrained("khan123/gaepago-11", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9652669b190006e63032c93d85536a8aeffe9980650e1e52c26c242c979a6efa
- Size of remote file:
- 378 MB
- SHA256:
- f5875bb04573e71d1b257b82d1c4d50fa6eeaf997dec10403b817fd8bc61bc1c
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